| import gradio as gr |
| from random import randint |
| from all_models import models |
| from externalmod import gr_Interface_load |
| import asyncio |
| from threading import RLock |
| lock = RLock() |
|
|
| def load_fn(models): |
| global models_load |
| models_load = {} |
| |
| for model in models: |
| if model not in models_load.keys(): |
| try: |
| m = gr_Interface_load(f'models/{model}') |
| except Exception as error: |
| print(error) |
| m = gr.Interface(lambda: None, ['text'], ['image']) |
| models_load.update({model: m}) |
|
|
|
|
| load_fn(models) |
|
|
|
|
| num_models = 6 |
| default_models = models[:num_models] |
| timeout = 300 |
|
|
| def extend_choices(choices): |
| return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA'] |
|
|
|
|
| def update_imgbox(choices): |
| choices_plus = extend_choices(choices[:num_models]) |
| return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus] |
|
|
|
|
| def update_imgbox_gallery(choices): |
| choices_plus = extend_choices(choices[:num_models]) |
| return [gr.Gallery(None, label = m, visible = (m != 'NA')) for m in choices_plus] |
|
|
|
|
| async def infer(model_str, prompt, timeout): |
| from PIL import Image |
| noise = "" |
| rand = randint(1, 500) |
| for i in range(rand): |
| noise += " " |
| task = asyncio.create_task(asyncio.to_thread(models_load[model_str], f'{prompt} {noise}')) |
| await asyncio.sleep(0) |
| try: |
| result = await asyncio.wait_for(task, timeout=timeout) |
| except (Exception, asyncio.TimeoutError) as e: |
| print(e) |
| print(f"Task timed out: {model_str}") |
| if not task.done(): task.cancel() |
| result = None |
| if task.done() and result is not None: |
| with lock: |
| image = Image.open(result).convert('RGBA') |
| return image |
| return None |
|
|
| def gen_fn(model_str, prompt): |
| if model_str == 'NA': |
| return None |
| try: |
| loop = asyncio.new_event_loop() |
| result = loop.run_until_complete(infer(model_str, prompt, timeout)) |
| except (Exception, asyncio.CancelledError) as e: |
| print(e) |
| print(f"Task aborted: {model_str}") |
| result = None |
| finally: |
| loop.close() |
| return result |
|
|
|
|
| def add_gallery(image, model_str, gallery): |
| if gallery is None: gallery = [] |
| with lock: |
| if image is not None: gallery.insert(0, (image, model_str)) |
| return gallery |
|
|
|
|
| def gen_fn_gallery(model_str, prompt, gallery): |
| if gallery is None: gallery = [] |
| if model_str == 'NA': |
| yield gallery |
| try: |
| loop = asyncio.new_event_loop() |
| result = loop.run_until_complete(infer(model_str, prompt, timeout)) |
| with lock: |
| if result: gallery.insert(0, result) |
| except (Exception, asyncio.CancelledError) as e: |
| print(e) |
| print(f"Task aborted: {model_str}") |
| finally: |
| loop.close() |
| yield gallery |
|
|
|
|
| CSS=""" |
| #container { max-width: 1200px; margin: 0 auto; !important; } |
| .output { width=112px; height=112px; !important; } |
| .gallery { width=100%; min_height=768px; !important; } |
| .guide { text-align: center; !important; } |
| """ |
|
|
| with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=CSS) as demo: |
| gr.HTML( |
| """ |
| <div> |
| <p> <center>For simultaneous generations without hidden queue check out <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! For more options like single model x6 check out <a href="https://huggingface.co/spaces/John6666/Diffusion80XX4sg">Diffusion80XX4sg</a> by John6666!</center> |
| </p></div> |
| """ |
| ) |
| with gr.Tab('Huggingface Diffusion'): |
| with gr.Column(scale=2): |
| txt_input = gr.Textbox(label='Your prompt:', lines=4) |
| with gr.Row(): |
| gen_button = gr.Button(f'Generate up to {int(num_models)} images from 1 to {int(num_models)*3} minutes total', scale=2) |
| stop_button = gr.Button('Stop', variant='secondary', interactive=False, scale=1) |
| gen_button.click(lambda: gr.update(interactive = True), None, stop_button) |
| gr.Markdown("Scroll down to see more images and select models.", elem_classes="guide") |
|
|
| with gr.Column(scale=1): |
| with gr.Group(): |
| with gr.Row(): |
| output = [gr.Image(label=m, show_download_button=True, elem_classes="output", interactive=False, min_width=80, show_share_button=False, visible=True) for m in default_models] |
| |
| |
| current_models = [gr.Textbox(m, visible=False) for m in default_models] |
|
|
| with gr.Column(scale=2): |
| gallery = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery", |
| interactive=False, show_share_button=True, container=True, format="png", |
| preview=True, object_fit="cover", columns=2, rows=2) |
|
|
| for m, o in zip(current_models, output): |
| |
| |
| gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn, inputs=[m, txt_input], outputs=[o]) |
| o.change(add_gallery, [o, m, gallery], [gallery]) |
| stop_button.click(lambda: gr.update(interactive = False), None, stop_button, cancels = [gen_event]) |
|
|
| with gr.Column(scale=4): |
| with gr.Accordion('Model selection'): |
| model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', value=default_models, interactive=True) |
| model_choice.change(update_imgbox, model_choice, output) |
| |
| model_choice.change(extend_choices, model_choice, current_models) |
|
|
| gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!") |
|
|
| demo.queue() |
| demo.launch() |
